AIoT-Driven Human Activity Recognition for Versatile Framework on Multipurpose Applications
This paper presents the implementation of an AIoT-based Human Activity Recognition (HAR) framework designed for multipurpose applications. The framework integrates sensor data from wearable IoT devices, which is then processed by AI algorithms to classify and predict human activities in real-time....
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| Main Authors: | Nanik Triwahyuni, Eni Wardihani, Aminuddin Rizal, Samuel Beta, Ricky Sambora, Rindang Oktaviani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Kristen Satya Wacana
2025-06-01
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| Series: | Techne |
| Subjects: | |
| Online Access: | https://ojs.jurnaltechne.org/index.php/techne/article/view/514 |
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